Efficient MPPT Controller for Solar PV System Using GWO-CS Optimized Fuzzy Logic Control and Conventional Incremental Conductance Technique

被引：18

作者：

Chauhan, Urvashi ^{[1
,2
]}

Chhabra, Himanshu ^{[1
,3
]}

Rani, Asha ^{[1
]}

Kumar, Bhavnesh ^{[1
]}

Singh, Vijander ^{[1
]}

机构：

[1] Netaji Subhas Univ Technol, ICE Dept, Univ Delhi, NSIT, New Delhi 110078, India

[2] Parul Univ, ECE Dept, Vadodara 391760, Gujarat, India

[3] Parul Univ, Mechatron Dept, Vadodara 391760, Gujarat, India

来源：

IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING | 2023年 / 47卷 / 02期

关键词：

Renewable energy; Solar PV system; MPPT; Incremental conductance; Fuzzy logic; GWO-CS optimization; POWER-POINT TRACKING; O MPPT; ALGORITHM; PERTURB; DESIGN; MODULE;

D O I：

10.1007/s40998-022-00569-3

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this work, an efficient MPPT controller is designed using expert fuzzy system and conventional incremental conductance (INC) algorithm for solar photovoltaic system. The proposed controller possesses adaptive capability due to the inclusion of optimized fuzzy logic expert knowledge and simultaneously preserves the simplicity of conventional MPPT. The membership functions in proposed INC-Fuzzy controller are optimized using hybrid grey wolf cuckoo search optimization so as to increase the tracking accuracy of controller. The basic INC MPPT and INC-PID MPPT techniques are also implemented for comparative analysis. The performance of proposed hybrid INC-Fuzzy MPPT controller is validated on a string of multi-crystalline solar cell KC130GT by M/s Kyocera in 4S1P configuration. The effectiveness of proposed technique is justified in terms of power tracking accuracy and average efficiency.

引用

页码：463 / 472

页数：10

共 35 条

[1] An Enhanced Adaptive P&O MPPT for Fast and Efficient Tracking Under Varying Environmental Conditions [J].

Ahmed, Jubaer ;

Salam, Zainal .

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018, 9 (03) :1487-1496

[2] A Modified P&O Maximum Power Point Tracking Method With Reduced Steady-State Oscillation and Improved Tracking Efficiency [J].

Ahmed, Jubaer ;

Salam, Zainal .

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2016, 7 (04) :1506-1515

[3]

Arulmurugan R., 2013, Proceedings of the 2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering (PRIME), P225, DOI 10.1109/ICPRIME.2013.6496477

[4] Improvement of Power System Transient Stability by PV Farm With Fuzzy Gain Scheduling of PID Controller [J].

Chaiyatham, Theerawut ;

Ngamroo, Issarachai .

IEEE SYSTEMS JOURNAL, 2017, 11 (03) :1684-1691

[5] A novel multi-model neuro-fuzzy-based MPPT for three-phase grid-connected photovoltaic system [J].

Chaouachi, Aymen ;

Kamel, Rashad M. ;

Nagasaka, Ken .

SOLAR ENERGY, 2010, 84 (12) :2219-2229

[6] An improved MVO assisted global MPPT algorithm for partially shaded PV system [J].

Chauhan, Urvashi ;

Singh, Vijander ;

Kumar, Bhavnesh ;

Rani, Asha .

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 38 (05) :6715-6726

[7] Modeling and Controller Design of an Autonomous PV Module for DMPPT PV Systems [J].

Chen, Cheng-Wei ;

Chen, Kun-Hung ;

Chen, Yaow-Ming .

IEEE TRANSACTIONS ON POWER ELECTRONICS, 2014, 29 (09) :4723-4732

[8] Robust nonlinear fractional order fuzzy PD plus fuzzy I controller applied to robotic manipulator [J].

Chhabra, Himanshu ;

Mohan, Vijay ;

Rani, Asha ;

Singh, Vijander .

NEURAL COMPUTING & APPLICATIONS, 2020, 32 (07) :2055-2079

[9]

Chim C. S., 2011, 2011 UkSim 13th International Conference on Computer Modelling and Simulation (UKSim 2011), P376, DOI 10.1109/UKSIM.2011.78

[10] T-S Fuzzy Maximum Power Point Tracking Control of Solar Power Generation Systems [J].

Chiu, Chian-Song .

IEEE TRANSACTIONS ON ENERGY CONVERSION, 2010, 25 (04) :1123-1132

← 1 2 3 4 →